Fungus Fuels Tree GrowthPoplar is the fastest growing hardwood tree in the western United States, making it an energy feedstock of particular interest to the U.S. Department of Energy (DOE). The fungus is almost always found among and within poplar trees, and in an effort to understand its influence on the plant, a team of scientists studied what happens to the tree’s physical traits and gene expression when the fungus is present.

Better Genome Editing for BioenergyCRISPR-Cas9 is a powerful, high-throughput gene-editing tool that can help scientists engineer organisms for bioenergy applications. Cas9 needs guide RNA to lead it to the correct sequence to snip—but not all guides are effective. Researchers created a set of guide RNAs that were effective against 94 percent of the genes in a lipid-prolific yeast.

Cultivating Symbiotic Antarctic MicrobesIn the Proceedings of the National Academy of Sciences, researchers employed multiple microbiology and ‘omics techniques to experimentally determine that Nanohaloarchaeota are not free-living archaea but rather symbionts.

Methane Flux in the AmazonWetlands are the single largest global source of atmospheric methane. This project aims to integrate microbial and tree genetic characteristics to measure and understand methane emissions at the heart of the Amazon rainforest.

Insights into Functional Diversity in NeurosporaThis proposal investigates the genetic bases of fungal thermophily, biomass-degradation, and fungal-bacterial interactions in Sordariales, an order of biomass-degrading fungi frequently encountered in compost and encompassing one of the few groups of thermophilic fungi.

Improving the Cacao Genome and PhytozomeAn updated reference genome for Theobroma cacao Matina 1-6 has now been completed and released by HudsonAlpha scientists, with the help of Mars Wrigley funding. The annotated genome has been updated to a high quality modern standard and includes RNA-seq data. The improved genome is available for comparative purposes on the latest version of the JGI plant portal Phytozome (phytozome-next.JGI.doe.gov).

Mining IMG/M for CRISPR-Associated ProteinsResearchers report the discovery of miniature CRISPR-associated proteins that can target single-stranded DNA. The discovery was made possible by mining the datasets in the Integrated Microbial Genomes and Microbiomes (IMG/M) suite of tools managed by the JGI. The sequences were then biochemically characterized by a team led by Jennifer Doudna’s group at UC Berkeley.

What Happens Underground Influences Global Nutrient CyclesThrough the Facilities Integrating Collaborations for User Science (FICUS) program, the Environmental Molecular Sciences Laboratory (EMSL) and the DOE Joint Genome Institute (JGI) have selected 11 proposals for support from 53 received through a joint research call.

CSP Functional Genomics Call OngoingThe CSP Functional Genomics call is to enable users to perform state-of-the-art functional genomics research and to help them translate genomic information into biological function. Proposals submitted by January 31, 2019 will be part of the next review.

Learning to LookUsing machine learning, JGI researchers combed through more than 70,000 microbial and metagenome datasets, ultimately identifying more than 10,000 inovirus-like sequences compared to the 56 previously known inovirus genomes.

JGI Early Career Researchers in mSystems Special IssueJGI researchers are among the authors who offer perspectives on what the next five years of innovation could look like. In one article, Rex Malmstrom and Emiley Eloe-Fadrosh outline more targeted approaches to reconstruct individual microbes in an environmental sample. In a separate article, Simon Roux makes a pitch for readers to get involved in the developing field of virus ecogenomics.

Hidden Giants in Forest SoilsIn Nature Communications, giant virus genomes have been discovered for the first time in a forest soil ecosystem by JGI and University of Massachusetts-Amherst researchers. Most of the genomes were uncovered using a "mini-metagenomics" approach that reduced the complexity of the soil microbial communities sequenced and analyzed.

IDing Livestock Gut Microbes Contributing to Greenhouse Gas Emissions

“Increased to levels unprecedented” is how the Intergovernmental Panel on Climate Change (IPCC) described the rise of carbon dioxide, methane and nitrous oxide emissions in their report on the physical science basis of climate change in 2013. According to the US Environmental Protection Agency (EPA), the atmospheric concentration of methane, a greenhouse gas some 28 times more potent than carbon dioxide has been steadily growing since the 18th century and has now increased by 50 percent compared to pre-industrial levels, exceeding 1,800 parts per billion.

Ruminant livestock are the single largest source of methane emissions, but they are not all equal when it comes to greenhouse gas emissions. (Sheep image courtesy of AgResearch – Gerry le Roux, Sciencelens. Art by Wayne Keefe, Berkeley Lab Creative Services.)

The EPA attributes one-fifth of methane emissions to livestock such as cattle, sheep and other ruminants. In fact, ruminant livestock are the single largest source of methane emissions, and in a country like New Zealand (NZ), where the sheep outnumber people 7 to 1, that’s a big deal. However, not all ruminants are equal when it comes to greenhouse gas emissions. It turns out that the amount of methane produced varies substantially across individual animals of the same ruminant species. To find out why this is so, a team of researchers led by the US Department of Energy Joint Genome Institute (DOE JGI) deployed high throughput DNA sequencing and specialized analysis techniques to explore the contents of the rumens of sheep in collaboration with NZ’s AgResearch Limited to see what role ruminant “microbiomes” (the microbes living in the rumen) play in this process. The study was published online June 6, 2014 in Genome Research.

“We wanted to understand why some sheep produce a lot and some produce little methane,” said DOE JGI Director Eddy Rubin. “The study shows that it is purely the microbiota responsible for the difference.”

To learn why the amount of methane that ruminants produce varies, the researchers took advantage of a large sheep screening and breeding program in NZ that aims to breed low methane-emitting ruminants without impacting other traits such as reproduction and wool and meat quality. The team measured the methane yields from a cohort of 22 sheep, and from this group, they selected four sheep with the lowest methane emissions, four sheep with the highest emissions and two sheep with intermediate emission levels. Rumen metagenome DNA samples collected on two occasions from the 10 sheep were sequenced at the DOE JGI, generating 50 billion bases of data each.

“The deep sequencing study contributes to this breeding program by defining the microbial contribution to the methane trait, which can be used in addition to methane measurements to assist in animal selection,” said senior scientist Graeme Attwood of AgResearch Limited, a senior author on the paper.

The team then checked to see if there was a correlation between the proportions of methanogens in the eight sheep with the highest and lowest recorded methane emissions. In sheep with low methane emissions, they found elevated levels of one particular species of methanogen (Methanosphaera) while sheep with high methane emissions had elevated levels of another group of methanogens (Methanobrevibacter gottschalkii). Exploring further, the team then identified a methane-producing pathway and three variants of a gene encoding an important methane-forming reaction that were involved in elevated methane yields. While the overall changes to the methane-producing microbial community structure and methanogen abundance across sheep were rather subtle, the team reported that the expression levels of genes involved in methane production varied more substantially across sheep, suggesting differential gene regulation, perhaps controlled by hydrogen concentration in the rumen or by variations in the dwell time of their feed.

“It’s not so much the actual composition of the microbiome that determines emission—which conventional wisdom would suggest—but mostly transcriptional regulation within the existing microbes that makes the difference, which is a concept that is relatively new in metagenomic studies,” Rubin said. The team’s findings suggest new possible targets for mitigating methane emissions at the microbiome level.

Screening and breeding for low-methane producing sheep is still underway, and importantly, low-methane lines then need to be tested for stability of the trait, as well as the absence of any impacts on fertility or meat or wool production. Moreover, as Attwood notes, “there needs to be an incentive for farmers to incorporate low methane animals into their flocks, that is, achieving better performance with the low methane animals or being able to claim carbon credits. If everything went well you could expect introduction of the low methane trait to begin in three years, and for there to be slow but incremental changes to the sheep industry in subsequent years.”

The DOE Office of Science supported the sheep rumen research at the DOE JGI. The NZ Fund for Global Partnerships in Livestock Emissions Research funded the work done in NZ to support the objectives of the Livestock Research Group of the Global Research Alliance on Agricultural Greenhouse Gases, and the NZ Agricultural Greenhouse Gas Research Centre and the NZ Pastoral Greenhouse Gas Research Consortium made the methane screening data and animal resources available. The data from the study complement the genomic sequences being generated from the Hungate1000 project, which seeks to produce a reference set of rumen microbial genomes from cultivated rumen bacteria and archaea, together with representative cultures of rumen anaerobic fungi and ciliate protozoa.

DOE’s Office of Science is the largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov.